Smart health systems for personal health action plans

Smart health systems such as networked activity trackers, scales, or sports watches allow monitoring many aspects of a healthy lifestyle. Nevertheless there is a semantic gap between these systems´ measurements and the users´ personal health action plan that is not bridged by existing health data aggregators. We describe representative types of health data as measured today and suggest a simple classification of data based on temporality of the data. We present a mapping of physical devices to health action plans that is device-agnostic and bridges this semantic gap. A key concept is the mapping of logical devices to primary health features that translates measurements to a meaningful health concept. We describe a prototype system implementing our mapping and providing lessons learned. The approach shows to be feasible to describe typical personal health action plans.